Multifactor exploration and multi-objective optimization of trapezoidal threads

Abstract Threaded drive mechanism is widely used in many industries and fields, is an indispensable and important part of the mechanical transmission field, the study and optimization of the parameters of the trapezoidal thread in the transmission system can effectively improve the performance of the threaded drive mechanism. This paper takes the screw nut mechanism of a company's screw elevator as the research object, and researches the influence of its trapezoidal thread's main 4 parameters on the structural performance, and optimizes it. The thesis research is based on ansys software dynamics simulation, using orthogonal experimental design to study the influence of pitch, thread head number, trapezoidal thread tooth angle and tooth height on the dynamic performance of structural components, through the polar analysis of the 4 kinds of influencing factors for the degree of importance of the ranking, and the introduction of the modal frequency, the efficiency of the parameter target optimization results, to determine the best parameter combination design scheme. The results showed that the equivalent stress decreased by 29.1%, the 1st order modal frequency increased by 24.5%, and the transportation rate increased by 11.1%. The results supplement the relevant research results in the field of threads and provide theoretical support for the further development and safe application of trapezoidal thread structures in screw drives in the future.